Median filtering method and system

Abstract

The invention discloses a median filtering method, which is applied to an RISC coprocessor, and comprises the following steps: reading N2 data to be filtered from a storage unit based on an SETUP instruction; executing a selection operation once according to a preset data taking rule; selecting target data corresponding to the current selection operation from the N2 data, comparing the target datawith the remaining N2-1data, writing the target data into a first register when the target data is a median of the N2 data to be filtered, and setting a value of a second register as a first numerical value; judging whether the value of the second register is a first value or not; if so, reading the value of the first register as a median to realize median filtering, and setting the values of thefirst register and the second register as second values after reading the value of the first register; and otherwise, returning to execute the selection operation. By applying the scheme of the invention, the median filtering speed is increased. The invention further provides a median filtering system which has corresponding technical effects.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a median filtering method and system. Background technique [0002] Median filtering is a nonlinear signal processing technology that can effectively suppress noise based on sorting statistics theory. The basic principle of median filtering is to use a neighborhood of the point (N x The median value of each point value in N) is replaced, so that the pixel value of this point is close to the surrounding real value, thereby eliminating isolated noise points. [0003] In the traditional solution, the efficiency of median filtering by CPU depends entirely on the performance of the CPU and the algorithm optimization of the software. As the performance of the CPU approaches the limit and the algorithm can no longer be optimized, the efficiency of median filtering will be extremely limited. big limit. It is difficult for the CPU to perform instruction expansion, which...

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Problems solved by technology

[0003] In the traditional solution, the efficiency of median filtering by CPU depends entirely on the performance of the CPU and the algorithm optimization of the software. As the performance of the CPU approaches the limit and the algorithm can no longer be optimized, the efficiency of median filtering will be extremely limited. big limit

It is difficult for the CPU to perform instruction expansion, making it difficult to meet the requirements of real-time filtering in more and more extensive image processing applications by using the CPU for median filtering

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